Overview

Dataset statistics

Number of variables25
Number of observations2351
Missing cells0
Missing cells (%)0.0%
Duplicate rows65
Duplicate rows (%)2.8%
Total size in memory450.1 KiB
Average record size in memory196.1 B

Variable types

Numeric24
Categorical1

Alerts

Dataset has 65 (2.8%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-23 18:20:44.366405
Analysis finished2024-04-23 18:22:42.345020
Duration1 minute and 57.98 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Glucose
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36282773
Minimum0.010993928
Maximum0.96846021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:42.504096image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.010993928
5-th percentile0.023959244
Q10.12919779
median0.35172218
Q30.58227775
95-th percentile0.79876823
Maximum0.96846021
Range0.95746628
Interquartile range (IQR)0.45307996

Descriptive statistics

Standard deviation0.25188913
Coefficient of variation (CV)0.69423891
Kurtosis-0.86864808
Mean0.36282773
Median Absolute Deviation (MAD)0.22993587
Skewness0.41454589
Sum853.008
Variance0.063448133
MonotonicityNot monotonic
2024-04-23T19:22:42.692742image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.099702427 51
 
2.2%
0.596150211 49
 
2.1%
0.400326055 47
 
2.0%
0.590548013 47
 
2.0%
0.452539049 46
 
2.0%
0.789111476 46
 
2.0%
0.565793898 45
 
1.9%
0.107165104 45
 
1.9%
0.407101302 45
 
1.9%
0.353734421 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.010993928 32
1.4%
0.012956009 23
1.0%
0.016513557 39
1.7%
0.023959244 37
1.6%
0.024836824 35
1.5%
0.032725534 35
1.5%
0.042562629 39
1.7%
0.080779183 34
1.4%
0.086810463 29
1.2%
0.099702427 51
2.2%
ValueCountFrequency (%)
0.968460209 32
1.4%
0.898222307 31
1.3%
0.799281855 36
1.5%
0.798768229 34
1.4%
0.789111476 46
2.0%
0.739596713 32
1.4%
0.731785738 32
1.4%
0.729868117 38
1.6%
0.722427843 34
1.4%
0.693767333 30
1.3%

Cholesterol
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39364812
Minimum0.012139386
Maximum0.90502642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:42.881512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.012139386
5-th percentile0.023058437
Q10.19581774
median0.3970826
Q30.58217786
95-th percentile0.80921489
Maximum0.90502642
Range0.89288704
Interquartile range (IQR)0.38636012

Descriptive statistics

Standard deviation0.23944945
Coefficient of variation (CV)0.60828297
Kurtosis-0.90497756
Mean0.39364812
Median Absolute Deviation (MAD)0.1879594
Skewness0.25540058
Sum925.46673
Variance0.057336037
MonotonicityNot monotonic
2024-04-23T19:22:43.073580image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.499443195 51
 
2.2%
0.294838787 49
 
2.1%
0.195817742 47
 
2.0%
0.838304924 47
 
2.0%
0.116134939 46
 
2.0%
0.607399968 46
 
2.0%
0.710185349 45
 
1.9%
0.603340566 45
 
1.9%
0.124737524 45
 
1.9%
0.75775684 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.012139386 35
1.5%
0.014278246 33
1.4%
0.015605359 30
1.3%
0.023058437 30
1.3%
0.053596268 35
1.5%
0.055289859 39
1.7%
0.061131626 45
1.9%
0.089600192 38
1.6%
0.114632506 25
1.1%
0.116134939 46
2.0%
ValueCountFrequency (%)
0.905026423 38
1.6%
0.838304924 47
2.0%
0.809214887 39
1.7%
0.783918029 36
1.5%
0.770951232 34
1.4%
0.75775684 45
1.9%
0.75221994 39
1.7%
0.730685846 30
1.3%
0.718821204 34
1.4%
0.710185349 45
1.9%

Hemoglobin
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58618954
Minimum0.003021347
Maximum0.98330579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:43.241295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.003021347
5-th percentile0.097309747
Q10.34609165
median0.60983599
Q30.79121548
95-th percentile0.97177939
Maximum0.98330579
Range0.98028444
Interquartile range (IQR)0.44512382

Descriptive statistics

Standard deviation0.27149799
Coefficient of variation (CV)0.46315735
Kurtosis-0.89713549
Mean0.58618954
Median Absolute Deviation (MAD)0.18987939
Skewness-0.3947765
Sum1378.1316
Variance0.07371116
MonotonicityNot monotonic
2024-04-23T19:22:43.383910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.242044877 51
 
2.2%
0.261009735 49
 
2.1%
0.743528741 47
 
2.0%
0.982230538 47
 
2.0%
0.544559881 46
 
2.0%
0.880837727 46
 
2.0%
0.661881876 45
 
1.9%
0.791215479 45
 
1.9%
0.983305786 45
 
1.9%
0.75500652 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.003021347 34
1.4%
0.027259168 38
1.6%
0.077617984 35
1.5%
0.097309747 32
1.4%
0.102632629 35
1.5%
0.175106018 33
1.4%
0.190485103 39
1.7%
0.201432809 37
1.6%
0.242044877 51
2.2%
0.261009735 49
2.1%
ValueCountFrequency (%)
0.983305786 45
1.9%
0.982230538 47
2.0%
0.971779389 39
1.7%
0.96496279 33
1.4%
0.956986039 32
1.4%
0.94489324 30
1.3%
0.933306503 31
1.3%
0.898615167 33
1.4%
0.888311664 45
1.9%
0.880837727 46
2.0%

Platelets
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50402698
Minimum0.012593787
Maximum0.99939313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:43.580951image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.012593787
5-th percentile0.062107463
Q10.20086492
median0.53396238
Q30.75484106
95-th percentile0.99118823
Maximum0.99939313
Range0.98679934
Interquartile range (IQR)0.55397614

Descriptive statistics

Standard deviation0.30334667
Coefficient of variation (CV)0.60184609
Kurtosis-1.2905222
Mean0.50402698
Median Absolute Deviation (MAD)0.31260683
Skewness0.12481056
Sum1184.9674
Variance0.092019202
MonotonicityNot monotonic
2024-04-23T19:22:43.872767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.599438631 51
 
2.2%
0.617652055 49
 
2.1%
0.133745263 47
 
2.0%
0.312286267 47
 
2.0%
0.400640254 46
 
2.0%
0.945034496 46
 
2.0%
0.98768385 45
 
1.9%
0.178839559 45
 
1.9%
0.663866538 45
 
1.9%
0.012593787 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.012593787 45
1.9%
0.042764418 34
1.4%
0.05593428 39
1.7%
0.068280646 34
1.4%
0.096309566 33
1.4%
0.127061075 32
1.4%
0.133745263 47
2.0%
0.167549756 33
1.4%
0.171059832 25
1.1%
0.171120532 38
1.6%
ValueCountFrequency (%)
0.99939313 35
1.5%
0.996840975 36
1.5%
0.994820363 45
1.9%
0.991188228 31
1.3%
0.98768385 45
1.9%
0.954618726 29
1.2%
0.945034496 46
2.0%
0.905765737 41
1.7%
0.905372145 30
1.3%
0.894808783 32
1.4%

White Blood Cells
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51108618
Minimum0.010138508
Maximum0.9907857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:44.118425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.010138508
5-th percentile0.065363113
Q10.25946711
median0.52738135
Q30.74316413
95-th percentile0.91669648
Maximum0.9907857
Range0.98064719
Interquartile range (IQR)0.48369702

Descriptive statistics

Standard deviation0.2772698
Coefficient of variation (CV)0.54251085
Kurtosis-1.224286
Mean0.51108618
Median Absolute Deviation (MAD)0.23284321
Skewness-0.15183955
Sum1201.5636
Variance0.076878541
MonotonicityNot monotonic
2024-04-23T19:22:44.365525image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.619330658 51
 
2.2%
0.129569135 49
 
2.1%
0.721063621 47
 
2.0%
0.231827388 47
 
2.0%
0.294538139 46
 
2.0%
0.527381352 46
 
2.0%
0.214811777 45
 
1.9%
0.718673729 45
 
1.9%
0.361112615 45
 
1.9%
0.227684497 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.010138508 36
1.5%
0.044499032 39
1.7%
0.047182623 37
1.6%
0.065363113 36
1.5%
0.078491419 45
1.9%
0.081168137 30
1.3%
0.112105138 26
1.1%
0.129569135 49
2.1%
0.146895156 32
1.4%
0.153956186 35
1.5%
ValueCountFrequency (%)
0.990785703 25
1.1%
0.94204687 39
1.7%
0.925519555 33
1.4%
0.91669648 40
1.7%
0.910492973 39
1.7%
0.875772664 23
1.0%
0.87198991 31
1.3%
0.859719267 33
1.4%
0.844528639 38
1.6%
0.837087142 39
1.7%

Red Blood Cells
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50658966
Minimum0.044565078
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:44.557753image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.044565078
5-th percentile0.11036762
Q10.26358894
median0.46743093
Q30.74367014
95-th percentile0.98118558
Maximum1
Range0.95543492
Interquartile range (IQR)0.4800812

Descriptive statistics

Standard deviation0.26656472
Coefficient of variation (CV)0.52619455
Kurtosis-1.0748375
Mean0.50658966
Median Absolute Deviation (MAD)0.20976536
Skewness0.21862075
Sum1190.9923
Variance0.07105675
MonotonicityNot monotonic
2024-04-23T19:22:44.777827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.110367617 51
 
2.2%
0.245357932 49
 
2.1%
0.197551615 47
 
2.0%
0.232004607 47
 
2.0%
0.38202135 46
 
2.0%
0.298447005 46
 
2.0%
0.765705097 45
 
1.9%
0.825768834 45
 
1.9%
0.66371621 45
 
1.9%
0.425117458 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.044565078 35
1.5%
0.046090774 33
1.4%
0.110367617 51
2.2%
0.129289726 37
1.6%
0.156493983 40
1.7%
0.166213858 30
1.3%
0.172417953 32
1.4%
0.197551615 47
2.0%
0.216573096 35
1.5%
0.21748509 33
1.4%
ValueCountFrequency (%)
1 39
1.7%
0.992377377 25
1.1%
0.981192962 45
1.9%
0.981185577 32
1.4%
0.928918912 33
1.4%
0.904300738 36
1.5%
0.904045916 25
1.1%
0.889100094 36
1.5%
0.869273282 40
1.7%
0.829274098 41
1.7%

Hematocrit
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50715235
Minimum0.011771723
Maximum0.9775203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:44.997825image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.011771723
5-th percentile0.035437329
Q10.28813208
median0.49342762
Q30.75365724
95-th percentile0.91951707
Maximum0.9775203
Range0.96574858
Interquartile range (IQR)0.46552515

Descriptive statistics

Standard deviation0.28553739
Coefficient of variation (CV)0.56302094
Kurtosis-1.1562114
Mean0.50715235
Median Absolute Deviation (MAD)0.25767867
Skewness-0.073124378
Sum1192.3152
Variance0.081531604
MonotonicityNot monotonic
2024-04-23T19:22:45.170323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.234203924 51
 
2.2%
0.035437329 49
 
2.1%
0.688592402 47
 
2.0%
0.088997253 47
 
2.0%
0.625266817 46
 
2.0%
0.10725661 46
 
2.0%
0.880837111 45
 
1.9%
0.753657237 45
 
1.9%
0.232515888 45
 
1.9%
0.387460694 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.011771723 32
1.4%
0.035297342 45
1.9%
0.035437329 49
2.1%
0.047323666 41
1.7%
0.059235681 35
1.5%
0.073292739 30
1.3%
0.088997253 47
2.0%
0.10725661 46
2.0%
0.164216445 30
1.3%
0.180427639 36
1.5%
ValueCountFrequency (%)
0.977520304 23
1.0%
0.957599094 34
1.4%
0.953789509 39
1.7%
0.919517071 32
1.4%
0.913720856 25
1.1%
0.900433732 33
1.4%
0.900010242 31
1.3%
0.894991187 39
1.7%
0.893227826 33
1.4%
0.885490809 29
1.2%

Mean Corpuscular Volume
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49220046
Minimum0.046941527
Maximum0.99526295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:45.324605image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.046941527
5-th percentile0.098744348
Q10.28753176
median0.45305197
Q30.72229321
95-th percentile0.98386447
Maximum0.99526295
Range0.94832142
Interquartile range (IQR)0.43476145

Descriptive statistics

Standard deviation0.27573512
Coefficient of variation (CV)0.56020899
Kurtosis-1.0935619
Mean0.49220046
Median Absolute Deviation (MAD)0.20524705
Skewness0.2279136
Sum1157.1633
Variance0.076029859
MonotonicityNot monotonic
2024-04-23T19:22:45.517829image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.658299025 51
 
2.2%
0.287531761 49
 
2.1%
0.821186047 47
 
2.0%
0.56404304 47
 
2.0%
0.295121717 46
 
2.0%
0.508335158 46
 
2.0%
0.099383767 45
 
1.9%
0.396669107 45
 
1.9%
0.341055598 45
 
1.9%
0.461417641 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.046941527 40
1.7%
0.065926206 25
1.1%
0.074916678 34
1.4%
0.098744348 34
1.4%
0.099383767 45
1.9%
0.103437395 38
1.6%
0.136226673 33
1.4%
0.140164148 30
1.3%
0.150618182 38
1.6%
0.177502137 23
1.0%
ValueCountFrequency (%)
0.995262949 38
1.6%
0.991942522 29
1.2%
0.985488237 31
1.3%
0.983864465 37
1.6%
0.959806788 32
1.4%
0.911852518 34
1.4%
0.911538184 32
1.4%
0.880020094 25
1.1%
0.865590621 35
1.5%
0.849053028 45
1.9%
Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48445894
Minimum0.000553627
Maximum0.96323477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:45.827417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.000553627
5-th percentile0.023408112
Q10.20793838
median0.42072312
Q30.77816026
95-th percentile0.92117753
Maximum0.96323477
Range0.96268115
Interquartile range (IQR)0.57022188

Descriptive statistics

Standard deviation0.31561806
Coefficient of variation (CV)0.65148566
Kurtosis-1.5337834
Mean0.48445894
Median Absolute Deviation (MAD)0.30065456
Skewness0.045223928
Sum1138.963
Variance0.099614757
MonotonicityNot monotonic
2024-04-23T19:22:46.139521image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.571699671 51
 
2.2%
0.056466444 49
 
2.1%
0.931951375 47
 
2.0%
0.732185814 47
 
2.0%
0.868369381 46
 
2.0%
0.36262014 46
 
2.0%
0.000553627 45
 
1.9%
0.762667049 45
 
1.9%
0.8474411 45
 
1.9%
0.305587964 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.000553627 45
1.9%
0.001327858 32
1.4%
0.020860836 32
1.4%
0.023408112 33
1.4%
0.02551391 25
1.1%
0.043986362 34
1.4%
0.056466444 49
2.1%
0.076625881 26
1.1%
0.106636706 34
1.4%
0.125447394 30
1.3%
ValueCountFrequency (%)
0.963234773 45
1.9%
0.931951375 47
2.0%
0.921177528 38
1.6%
0.919054664 40
1.7%
0.916095949 39
1.7%
0.915391141 38
1.6%
0.906909681 39
1.7%
0.872038038 38
1.6%
0.868369381 46
2.0%
0.866319835 32
1.4%
Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.56227336
Minimum0.006946978
Maximum0.97558566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:46.382772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.006946978
5-th percentile0.035532715
Q10.35577395
median0.60363459
Q30.74138116
95-th percentile0.96827259
Maximum0.97558566
Range0.96863869
Interquartile range (IQR)0.38560721

Descriptive statistics

Standard deviation0.27328083
Coefficient of variation (CV)0.48602841
Kurtosis-0.8576206
Mean0.56227336
Median Absolute Deviation (MAD)0.20235289
Skewness-0.24886286
Sum1321.9047
Variance0.074682412
MonotonicityNot monotonic
2024-04-23T19:22:46.586795image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.364311687 51
 
2.2%
0.80049658 49
 
2.1%
0.428604386 47
 
2.0%
0.971942422 47
 
2.0%
0.026807746 46
 
2.0%
0.737576537 46
 
2.0%
0.035532715 45
 
1.9%
0.732670947 45
 
1.9%
0.309766155 45
 
1.9%
0.741119698 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.006946978 34
1.4%
0.007903157 35
1.5%
0.026807746 46
2.0%
0.035532715 45
1.9%
0.161920442 38
1.6%
0.186531848 38
1.6%
0.20839276 41
1.7%
0.218293004 39
1.7%
0.278717402 34
1.4%
0.279218957 33
1.4%
ValueCountFrequency (%)
0.975585663 34
1.4%
0.971942422 47
2.0%
0.968272588 38
1.6%
0.964606239 39
1.7%
0.962333754 34
1.4%
0.959010087 35
1.5%
0.943168647 32
1.4%
0.939726529 30
1.3%
0.938894677 45
1.9%
0.931498308 25
1.1%

Insulin
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44706245
Minimum0.034129122
Maximum0.96678362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:46.776629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.034129122
5-th percentile0.078163161
Q10.21911112
median0.44480601
Q30.65444062
95-th percentile0.83036297
Maximum0.96678362
Range0.9326545
Interquartile range (IQR)0.43532951

Descriptive statistics

Standard deviation0.24286103
Coefficient of variation (CV)0.54323738
Kurtosis-1.1081144
Mean0.44706245
Median Absolute Deviation (MAD)0.21329246
Skewness0.097121262
Sum1051.0438
Variance0.058981481
MonotonicityNot monotonic
2024-04-23T19:22:46.965147image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.75317757 51
 
2.2%
0.583976352 49
 
2.1%
0.37388733 47
 
2.0%
0.887780655 47
 
2.0%
0.582170303 46
 
2.0%
0.219111116 46
 
2.0%
0.699609427 45
 
1.9%
0.232876513 45
 
1.9%
0.525229834 45
 
1.9%
0.654440623 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.034129122 32
1.4%
0.051976022 38
1.6%
0.075612408 41
1.7%
0.078163161 33
1.4%
0.079543459 25
1.1%
0.117410225 40
1.7%
0.135627077 40
1.7%
0.150882374 26
1.1%
0.151012766 33
1.4%
0.161484587 45
1.9%
ValueCountFrequency (%)
0.966783624 34
1.4%
0.887780655 47
2.0%
0.883907603 23
1.0%
0.830362966 34
1.4%
0.797331056 34
1.4%
0.788943958 36
1.5%
0.77289646 30
1.3%
0.75317757 51
2.2%
0.71245923 36
1.5%
0.700015339 34
1.4%

BMI
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43667911
Minimum0.014595608
Maximum0.89820995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:47.207985image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.014595608
5-th percentile0.02113235
Q10.24688549
median0.44372477
Q30.60166233
95-th percentile0.83927051
Maximum0.89820995
Range0.88361434
Interquartile range (IQR)0.35477685

Descriptive statistics

Standard deviation0.24286549
Coefficient of variation (CV)0.55616466
Kurtosis-0.96395926
Mean0.43667911
Median Absolute Deviation (MAD)0.1866044
Skewness-0.084569667
Sum1026.6326
Variance0.058983645
MonotonicityNot monotonic
2024-04-23T19:22:47.389379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.233537137 51
 
2.2%
0.032616941 49
 
2.1%
0.559570856 47
 
2.0%
0.02113235 47
 
2.0%
0.577423252 46
 
2.0%
0.595449887 46
 
2.0%
0.375882141 45
 
1.9%
0.119337806 45
 
1.9%
0.558361596 45
 
1.9%
0.40392026 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.014595608 32
1.4%
0.019004763 45
1.9%
0.02113235 47
2.0%
0.032616941 49
2.1%
0.06397029 39
1.7%
0.071774199 32
1.4%
0.102749001 37
1.6%
0.119337806 45
1.9%
0.141493898 40
1.7%
0.142010176 34
1.4%
ValueCountFrequency (%)
0.89820995 33
1.4%
0.888594965 32
1.4%
0.877876389 38
1.6%
0.839270508 30
1.3%
0.789497421 32
1.4%
0.780027015 25
1.1%
0.779364006 25
1.1%
0.754884134 38
1.6%
0.749108862 38
1.6%
0.687974835 34
1.4%

Systolic Blood Pressure
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38121136
Minimum0.005988262
Maximum0.82909963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:47.624001image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.005988262
5-th percentile0.045782486
Q10.17995084
median0.35906409
Q30.58090257
95-th percentile0.74100856
Maximum0.82909963
Range0.82311137
Interquartile range (IQR)0.40095173

Descriptive statistics

Standard deviation0.23278487
Coefficient of variation (CV)0.61064516
Kurtosis-1.2636203
Mean0.38121136
Median Absolute Deviation (MAD)0.19664073
Skewness0.15601553
Sum896.22791
Variance0.054188796
MonotonicityNot monotonic
2024-04-23T19:22:47.811597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.377237778 51
 
2.2%
0.555189544 49
 
2.1%
0.763388441 47
 
2.0%
0.29455224 47
 
2.0%
0.045782486 46
 
2.0%
0.448049426 46
 
2.0%
0.683011922 45
 
1.9%
0.142591405 45
 
1.9%
0.741008562 45
 
1.9%
0.143712706 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.005988262 30
1.3%
0.014844612 37
1.6%
0.025864155 34
1.4%
0.045782486 46
2.0%
0.057269953 36
1.5%
0.073897375 38
1.6%
0.099127352 26
1.1%
0.102021996 23
1.0%
0.109371907 41
1.7%
0.11846101 39
1.7%
ValueCountFrequency (%)
0.829099634 33
1.4%
0.763388441 47
2.0%
0.747593247 34
1.4%
0.741008562 45
1.9%
0.722350411 33
1.4%
0.713454327 45
1.9%
0.710743968 35
1.5%
0.708229042 38
1.6%
0.683011922 45
1.9%
0.664834571 31
1.3%

Diastolic Blood Pressure
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42170845
Minimum0.005578648
Maximum0.93461748
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:48.026709image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.005578648
5-th percentile0.027660809
Q10.17546913
median0.47437821
Q30.66338249
95-th percentile0.75549033
Maximum0.93461748
Range0.92903883
Interquartile range (IQR)0.48791337

Descriptive statistics

Standard deviation0.24876821
Coefficient of variation (CV)0.58990568
Kurtosis-1.2884555
Mean0.42170845
Median Absolute Deviation (MAD)0.20897105
Skewness-0.15232973
Sum991.43657
Variance0.061885624
MonotonicityNot monotonic
2024-04-23T19:22:48.209538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.58158699 51
 
2.2%
0.678200484 49
 
2.1%
0.755490332 47
 
2.0%
0.226389838 47
 
2.0%
0.66364249 46
 
2.0%
0.683349265 46
 
2.0%
0.600675775 45
 
1.9%
0.474378211 45
 
1.9%
0.67849991 45
 
1.9%
0.212858643 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.005578648 39
1.7%
0.024311209 40
1.7%
0.027660809 45
1.9%
0.029655741 31
1.3%
0.043103023 39
1.7%
0.060662862 34
1.4%
0.066487751 25
1.1%
0.07145461 32
1.4%
0.107814746 34
1.4%
0.111589444 38
1.6%
ValueCountFrequency (%)
0.934617481 36
1.5%
0.784965874 23
1.0%
0.761455163 30
1.3%
0.755490332 47
2.0%
0.728042861 33
1.4%
0.714794089 32
1.4%
0.709064035 38
1.6%
0.706076947 32
1.4%
0.700549709 38
1.6%
0.686141859 34
1.4%

Triglycerides
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37437286
Minimum0.00521692
Maximum0.97367941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:48.452482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.00521692
5-th percentile0.012693207
Q10.18460428
median0.31785663
Q30.57233026
95-th percentile0.79310195
Maximum0.97367941
Range0.96846249
Interquartile range (IQR)0.38772598

Descriptive statistics

Standard deviation0.25698057
Coefficient of variation (CV)0.68642948
Kurtosis-0.72964226
Mean0.37437286
Median Absolute Deviation (MAD)0.19331168
Skewness0.50850992
Sum880.15059
Variance0.066039012
MonotonicityNot monotonic
2024-04-23T19:22:48.715789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.231094411 51
 
2.2%
0.00521692 49
 
2.1%
0.317856634 47
 
2.0%
0.973679405 47
 
2.0%
0.088939901 46
 
2.0%
0.324000932 46
 
2.0%
0.202290036 45
 
1.9%
0.731368671 45
 
1.9%
0.29921266 45
 
1.9%
0.393262942 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.00521692 49
2.1%
0.010612256 35
1.5%
0.012693207 38
1.6%
0.044067235 34
1.4%
0.060229959 35
1.5%
0.064390666 39
1.7%
0.068168845 29
1.2%
0.069965949 32
1.4%
0.088798861 31
1.3%
0.088939901 46
2.0%
ValueCountFrequency (%)
0.973679405 47
2.0%
0.928343646 23
1.0%
0.897603741 32
1.4%
0.793101952 36
1.5%
0.774540686 34
1.4%
0.770740236 34
1.4%
0.766484041 31
1.3%
0.761350377 40
1.7%
0.748102441 23
1.0%
0.731368671 45
1.9%

HbA1c
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43911183
Minimum0.01625564
Maximum0.95021811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:48.889141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.01625564
5-th percentile0.026747259
Q10.18875007
median0.46637517
Q30.65251361
95-th percentile0.85353776
Maximum0.95021811
Range0.93396247
Interquartile range (IQR)0.46376354

Descriptive statistics

Standard deviation0.2637794
Coefficient of variation (CV)0.60071121
Kurtosis-1.1542262
Mean0.43911183
Median Absolute Deviation (MAD)0.26015226
Skewness-0.042772343
Sum1032.3519
Variance0.069579572
MonotonicityNot monotonic
2024-04-23T19:22:49.128932image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.120251487 51
 
2.2%
0.738542493 49
 
2.1%
0.026747259 47
 
2.0%
0.029014862 47
 
2.0%
0.466795262 46
 
2.0%
0.148845163 46
 
2.0%
0.193009632 45
 
1.9%
0.489513696 45
 
1.9%
0.491185049 45
 
1.9%
0.446853544 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.01625564 30
1.3%
0.022620966 34
1.4%
0.025010232 33
1.4%
0.026747259 47
2.0%
0.029014862 47
2.0%
0.064761526 32
1.4%
0.079864729 39
1.7%
0.102060298 34
1.4%
0.102180326 36
1.5%
0.11102957 34
1.4%
ValueCountFrequency (%)
0.95021811 34
1.4%
0.865091928 34
1.4%
0.856809908 30
1.3%
0.853537761 29
1.2%
0.853456324 34
1.4%
0.798970064 30
1.3%
0.796922174 33
1.4%
0.795468823 38
1.6%
0.775665798 34
1.4%
0.764430315 36
1.5%

LDL Cholesterol
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42177713
Minimum0.033037314
Maximum0.98382648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:49.314294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.033037314
5-th percentile0.042318409
Q10.21775697
median0.41307112
Q30.60475272
95-th percentile0.94430257
Maximum0.98382648
Range0.95078916
Interquartile range (IQR)0.38699575

Descriptive statistics

Standard deviation0.25212367
Coefficient of variation (CV)0.59776515
Kurtosis-0.70105729
Mean0.42177713
Median Absolute Deviation (MAD)0.1916816
Skewness0.23686915
Sum991.59804
Variance0.063566347
MonotonicityNot monotonic
2024-04-23T19:22:49.504116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.042318409 51
 
2.2%
0.075263134 49
 
2.1%
0.587579278 47
 
2.0%
0.94430257 47
 
2.0%
0.387332059 46
 
2.0%
0.487346881 46
 
2.0%
0.413071117 45
 
1.9%
0.102679105 45
 
1.9%
0.701914342 45
 
1.9%
0.729376451 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.033037314 33
1.4%
0.040136578 30
1.3%
0.041583198 35
1.5%
0.042318409 51
2.2%
0.043880281 34
1.4%
0.044196018 35
1.5%
0.061317291 34
1.4%
0.075263134 49
2.1%
0.095871388 33
1.4%
0.102679105 45
1.9%
ValueCountFrequency (%)
0.983826476 36
1.5%
0.977656436 38
1.6%
0.94430257 47
2.0%
0.798043461 38
1.6%
0.756329598 40
1.7%
0.747632004 39
1.7%
0.729376451 45
1.9%
0.713441317 25
1.1%
0.701914342 45
1.9%
0.701782411 36
1.5%

HDL Cholesterol
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54607884
Minimum0.039505311
Maximum0.98941129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:49.716459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.039505311
5-th percentile0.12536889
Q10.3071319
median0.51294056
Q30.77937823
95-th percentile0.95254851
Maximum0.98941129
Range0.94990598
Interquartile range (IQR)0.47224633

Descriptive statistics

Standard deviation0.26951053
Coefficient of variation (CV)0.49353777
Kurtosis-1.282764
Mean0.54607884
Median Absolute Deviation (MAD)0.24253844
Skewness-0.034211442
Sum1283.8314
Variance0.072635926
MonotonicityNot monotonic
2024-04-23T19:22:49.884119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.738031216 51
 
2.2%
0.250967627 49
 
2.1%
0.688190912 47
 
2.0%
0.852006843 47
 
2.0%
0.421763092 46
 
2.0%
0.329198206 46
 
2.0%
0.77937823 45
 
1.9%
0.861035042 45
 
1.9%
0.218104037 45
 
1.9%
0.615543077 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.039505311 33
1.4%
0.045054995 34
1.4%
0.106960917 30
1.3%
0.125368889 32
1.4%
0.15008919 29
1.2%
0.200322665 38
1.6%
0.218104037 45
1.9%
0.221105722 38
1.6%
0.221573589 39
1.7%
0.222686746 31
1.3%
ValueCountFrequency (%)
0.989411294 39
1.7%
0.97722706 39
1.7%
0.970482002 32
1.4%
0.95254851 38
1.6%
0.922278071 25
1.1%
0.916382399 40
1.7%
0.895491695 34
1.4%
0.873681207 34
1.4%
0.861035042 45
1.9%
0.85835179 33
1.4%

ALT
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43497204
Minimum0.007186305
Maximum0.94254879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:50.042171image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.007186305
5-th percentile0.064187347
Q10.21107792
median0.37323466
Q30.71031859
95-th percentile0.79715777
Maximum0.94254879
Range0.93536249
Interquartile range (IQR)0.49924067

Descriptive statistics

Standard deviation0.26738841
Coefficient of variation (CV)0.6147255
Kurtosis-1.3838529
Mean0.43497204
Median Absolute Deviation (MAD)0.24545489
Skewness0.099714656
Sum1022.6193
Variance0.07149656
MonotonicityNot monotonic
2024-04-23T19:22:50.284627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.538057124 51
 
2.2%
0.066292341 49
 
2.1%
0.127779767 47
 
2.0%
0.36300097 47
 
2.0%
0.007186305 46
 
2.0%
0.155281899 46
 
2.0%
0.7779826 45
 
1.9%
0.609068356 45
 
1.9%
0.790341214 45
 
1.9%
0.794734908 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.007186305 46
2.0%
0.015280079 39
1.7%
0.029745076 23
1.0%
0.064187347 32
1.4%
0.066292341 49
2.1%
0.087708147 39
1.7%
0.090484402 40
1.7%
0.101244628 45
1.9%
0.125286815 38
1.6%
0.127779767 47
2.0%
ValueCountFrequency (%)
0.94254879 30
1.3%
0.856191992 34
1.4%
0.829809537 29
1.2%
0.797157768 38
1.6%
0.794734908 45
1.9%
0.790341214 45
1.9%
0.786579494 31
1.3%
0.7779826 45
1.9%
0.77246119 31
1.3%
0.771415953 32
1.4%

AST
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45213847
Minimum0.013012546
Maximum0.99445995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:50.503643image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.013012546
5-th percentile0.070973745
Q10.23965907
median0.48631743
Q30.61618101
95-th percentile0.84937941
Maximum0.99445995
Range0.98144741
Interquartile range (IQR)0.37652194

Descriptive statistics

Standard deviation0.24207486
Coefficient of variation (CV)0.53539982
Kurtosis-0.83991104
Mean0.45213847
Median Absolute Deviation (MAD)0.16833376
Skewness-0.031246679
Sum1062.9775
Variance0.058600236
MonotonicityNot monotonic
2024-04-23T19:22:50.771155image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.63494718 51
 
2.2%
0.71042749 49
 
2.1%
0.616181006 47
 
2.0%
0.805746235 47
 
2.0%
0.506918161 46
 
2.0%
0.239659066 46
 
2.0%
0.24927653 45
 
1.9%
0.67741541 45
 
1.9%
0.570901661 45
 
1.9%
0.233889809 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.013012546 38
1.6%
0.024871845 26
1.1%
0.043020882 36
1.5%
0.070973745 36
1.5%
0.076343363 33
1.4%
0.080493647 32
1.4%
0.083671864 32
1.4%
0.0995381 35
1.5%
0.119993775 31
1.3%
0.152275617 33
1.4%
ValueCountFrequency (%)
0.994459952 38
1.6%
0.900876684 35
1.5%
0.885812298 23
1.0%
0.849379414 34
1.4%
0.805746235 47
2.0%
0.768933875 38
1.6%
0.767706613 30
1.3%
0.734107062 40
1.7%
0.714631649 39
1.7%
0.71042749 49
2.1%

Heart Rate
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58225514
Minimum0.11455035
Maximum0.99687281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:50.998567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.11455035
5-th percentile0.20709751
Q10.3391247
median0.61086034
Q30.80066578
95-th percentile0.97919154
Maximum0.99687281
Range0.88232246
Interquartile range (IQR)0.46154108

Descriptive statistics

Standard deviation0.2509154
Coefficient of variation (CV)0.4309372
Kurtosis-1.1761841
Mean0.58225514
Median Absolute Deviation (MAD)0.23055149
Skewness-0.0012431251
Sum1368.8818
Variance0.062958537
MonotonicityNot monotonic
2024-04-23T19:22:51.222885image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.918468082 51
 
2.2%
0.893396796 49
 
2.1%
0.636628551 47
 
2.0%
0.153940386 47
 
2.0%
0.431703605 46
 
2.0%
0.403890293 46
 
2.0%
0.244140813 45
 
1.9%
0.979191544 45
 
1.9%
0.339124698 45
 
1.9%
0.612187796 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.114550348 32
1.4%
0.139593123 29
1.2%
0.153940386 47
2.0%
0.207097506 34
1.4%
0.22575553 30
1.3%
0.244140813 45
1.9%
0.262752951 34
1.4%
0.269826631 34
1.4%
0.295501687 37
1.6%
0.298837283 39
1.7%
ValueCountFrequency (%)
0.996872806 33
1.4%
0.985786316 32
1.4%
0.982893113 35
1.5%
0.979191544 45
1.9%
0.939484854 32
1.4%
0.932906682 36
1.5%
0.928160862 25
1.1%
0.918468082 51
2.2%
0.898208807 38
1.6%
0.894273391 31
1.3%

Creatinine
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.42507456
Minimum0.021239415
Maximum0.92592426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:51.451113image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.021239415
5-th percentile0.095511528
Q10.21302641
median0.41729472
Q30.60671879
95-th percentile0.79809011
Maximum0.92592426
Range0.90468485
Interquartile range (IQR)0.39369238

Descriptive statistics

Standard deviation0.22929821
Coefficient of variation (CV)0.53943057
Kurtosis-0.97077999
Mean0.42507456
Median Absolute Deviation (MAD)0.20273446
Skewness0.18304737
Sum999.35028
Variance0.052577669
MonotonicityNot monotonic
2024-04-23T19:22:51.731464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.510068069 51
 
2.2%
0.704436788 49
 
2.1%
0.308070217 47
 
2.0%
0.179070713 47
 
2.0%
0.417294725 46
 
2.0%
0.22414212 46
 
2.0%
0.47886754 45
 
1.9%
0.554960458 45
 
1.9%
0.310964098 45
 
1.9%
0.407890501 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.021239415 36
1.5%
0.076332503 25
1.1%
0.095323108 32
1.4%
0.095511528 32
1.4%
0.095770868 23
1.0%
0.12480618 33
1.4%
0.126546654 41
1.7%
0.128124152 31
1.3%
0.132225836 23
1.0%
0.138021693 34
1.4%
ValueCountFrequency (%)
0.925924262 32
1.4%
0.882164154 33
1.4%
0.799552264 33
1.4%
0.798090111 30
1.3%
0.795060793 29
1.2%
0.774219376 33
1.4%
0.755205364 39
1.7%
0.750727086 34
1.4%
0.737240569 39
1.7%
0.718824213 39
1.7%

Troponin
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45459715
Minimum0.007490215
Maximum0.97280277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:52.038090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.007490215
5-th percentile0.017569806
Q10.28896063
median0.4268626
Q30.68216374
95-th percentile0.90562781
Maximum0.97280277
Range0.96531255
Interquartile range (IQR)0.39320311

Descriptive statistics

Standard deviation0.25118854
Coefficient of variation (CV)0.55255194
Kurtosis-0.82736309
Mean0.45459715
Median Absolute Deviation (MAD)0.18681791
Skewness0.051306243
Sum1068.7579
Variance0.063095681
MonotonicityNot monotonic
2024-04-23T19:22:52.297890image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.103066242 51
 
2.2%
0.590517395 49
 
2.1%
0.292787151 47
 
2.0%
0.411123912 47
 
2.0%
0.799074072 46
 
2.0%
0.538296845 46
 
2.0%
0.706732508 45
 
1.9%
0.472428011 45
 
1.9%
0.310900254 45
 
1.9%
0.426862602 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.007490215 38
1.6%
0.008220479 32
1.4%
0.012286666 38
1.6%
0.017569806 31
1.3%
0.073240119 25
1.1%
0.088595635 30
1.3%
0.088610879 34
1.4%
0.103066242 51
2.2%
0.110734369 41
1.7%
0.134821763 36
1.5%
ValueCountFrequency (%)
0.972802768 33
1.4%
0.933741185 34
1.4%
0.914946629 32
1.4%
0.905627807 34
1.4%
0.816982046 30
1.3%
0.799074072 46
2.0%
0.794008039 39
1.7%
0.772243654 29
1.2%
0.767154326 35
1.5%
0.751778117 25
1.1%

C-reactive Protein
Real number (ℝ)

Distinct65
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.43030779
Minimum0.004867322
Maximum0.79790587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.5 KiB
2024-04-23T19:22:52.593432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.004867322
5-th percentile0.036799607
Q10.1961924
median0.48160087
Q30.63142559
95-th percentile0.76923007
Maximum0.79790587
Range0.79303855
Interquartile range (IQR)0.43523318

Descriptive statistics

Standard deviation0.24303378
Coefficient of variation (CV)0.56479055
Kurtosis-1.2743016
Mean0.43030779
Median Absolute Deviation (MAD)0.20277381
Skewness-0.22789016
Sum1011.6536
Variance0.059065417
MonotonicityNot monotonic
2024-04-23T19:22:52.957572image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.41703236 51
 
2.2%
0.728162945 49
 
2.1%
0.521284492 47
 
2.0%
0.477136714 47
 
2.0%
0.779207914 46
 
2.0%
0.642116922 46
 
2.0%
0.510183207 45
 
1.9%
0.621686816 45
 
1.9%
0.622402748 45
 
1.9%
0.532099797 45
 
1.9%
Other values (55) 1885
80.2%
ValueCountFrequency (%)
0.004867322 36
1.5%
0.00612067 23
1.0%
0.030796069 39
1.7%
0.036799607 34
1.4%
0.04248975 32
1.4%
0.0490148 36
1.5%
0.059388244 36
1.5%
0.084155114 25
1.1%
0.093951028 39
1.7%
0.094970321 39
1.7%
ValueCountFrequency (%)
0.797905872 30
1.3%
0.779207914 46
2.0%
0.770657337 40
1.7%
0.769230075 32
1.4%
0.766426354 26
1.1%
0.754752585 33
1.4%
0.75418932 38
1.6%
0.751437768 31
1.3%
0.751157052 30
1.3%
0.728162945 49
2.1%

Disease
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size114.9 KiB
0
623 
2
556 
1
540 
3
509 
4
123 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2351
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row3
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Length

2024-04-23T19:22:53.319743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-23T19:22:53.672920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Most occurring characters

ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2351
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2351
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2351
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 623
26.5%
2 556
23.6%
1 540
23.0%
3 509
21.7%
4 123
 
5.2%

Interactions

2024-04-23T19:22:35.436538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:46.572112image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.666083image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.860168image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:57.271934image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:00.432158image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:05.328571image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:09.442864image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:13.844143image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:18.112067image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.902894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:26.921123image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:30.529529image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:34.734275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:39.384987image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:43.787915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:50.144603image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:58.002563image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:03.370270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:10.059933image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:14.024030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:18.476214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:26.161546image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.986759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:35.684494image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:46.873974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.772294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:54.063272image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:57.416651image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:00.616187image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:05.491760image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:09.617464image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:14.036366image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:18.295092image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:23.079090image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:27.080345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:30.659258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:34.977287image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:39.506725image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:44.017327image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:50.631575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:58.207010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:03.551085image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:10.267118image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:14.215799image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:18.711233image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:26.518751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:32.101588image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:35.866535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:47.125176image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.884426image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:54.231368image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:57.538715image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:00.851657image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2024-04-23T19:22:17.328480image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:23.362853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:30.832389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:34.467776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:40.643593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.059926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.090713image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:56.539802image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:59.709756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:04.663597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:08.615002image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:12.907013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:16.994441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.104610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:25.973745image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:29.751013image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:33.723727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:38.615184image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:42.687974image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:48.195242image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:56.563986image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:02.254060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:08.008320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:13.259280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:17.520849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:23.869325image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.010010image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:34.653867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:40.844362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.170743image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.248887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:56.724724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:59.828547image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:04.804787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:08.786993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:13.083356image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:17.260482image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.247514image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:26.132762image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:29.873957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:33.912141image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:38.773584image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:42.899183image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:48.545576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:56.799978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:02.485793image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:08.285404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:13.395360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:17.697230image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:24.227922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.211407image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:34.854062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:40.972776image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.287560image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.400691image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:56.846991image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:59.934126image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:04.941995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:08.944761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:13.256383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:17.424136image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.408756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:26.290620image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:30.062046image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:34.076610image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:38.895973image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:43.118664image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:48.852319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:57.035216image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:02.661027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:08.507940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:13.541014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:17.854570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:24.636834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.433279image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:34.979901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:41.171682image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.407191image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.536203image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:56.971075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:00.079545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:05.065775image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:09.101391image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:13.494972image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:17.608865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.553772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:26.470121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:30.219449image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:34.246071image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:39.023512image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:43.296888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:49.202865image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:57.344308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:02.844140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:09.498589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:13.667614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:18.050576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:25.208443image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.613127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:35.128787image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:41.311056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:50.534915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:53.664412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:20:57.093811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:00.239240image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:05.185513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:09.266379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:13.653241image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:17.833119image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:22.717316image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:26.673981image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:30.355127image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:34.490979image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:39.190693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:43.546876image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:49.615690image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:21:57.662661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:03.086888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:09.741824image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:13.838693image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:18.220673image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:25.710306image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:31.799625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-04-23T19:22:35.268699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-04-23T19:22:53.998555image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ALTASTBMIC-reactive ProteinCholesterolCreatinineDiastolic Blood PressureDiseaseGlucoseHDL CholesterolHbA1cHeart RateHematocritHemoglobinInsulinLDL CholesterolMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationMean Corpuscular VolumePlateletsRed Blood CellsSystolic Blood PressureTriglyceridesTroponinWhite Blood Cells
ALT1.000-0.1740.137-0.1140.0800.0610.0210.415-0.017-0.0380.044-0.060-0.0360.0290.2590.125-0.113-0.2520.025-0.1120.1830.013-0.039-0.1500.019
AST-0.1741.000-0.271-0.0180.135-0.0230.0140.405-0.056-0.1570.028-0.076-0.151-0.0990.220-0.1170.0650.0500.0140.061-0.199-0.161-0.019-0.0690.148
BMI0.137-0.2711.000-0.023-0.134-0.2400.3070.4280.385-0.201-0.0220.0030.194-0.013-0.1210.1650.005-0.107-0.1040.0500.0340.033-0.1360.0970.050
C-reactive Protein-0.114-0.018-0.0231.000-0.2170.0550.0840.3440.267-0.2680.2290.152-0.080-0.033-0.1260.0330.0610.045-0.106-0.026-0.1830.0630.0110.0830.008
Cholesterol0.0800.135-0.134-0.2171.000-0.034-0.0300.3820.1720.1720.029-0.1420.0560.1660.1210.100-0.2910.174-0.0500.0120.152-0.1630.174-0.0570.026
Creatinine0.061-0.023-0.2400.055-0.0341.0000.1500.401-0.220-0.0140.2230.040-0.028-0.0750.1260.006-0.1190.074-0.0090.011-0.105-0.061-0.019-0.0200.083
Diastolic Blood Pressure0.0210.0140.3070.084-0.0300.1501.0000.3940.085-0.103-0.051-0.104-0.0890.1300.2140.1400.076-0.152-0.0150.091-0.1430.2010.054-0.175-0.067
Disease0.4150.4050.4280.3440.3820.4010.3941.0000.1590.0130.073-0.0940.2480.213-0.0110.0230.131-0.007-0.132-0.1770.338-0.1420.004-0.0110.390
Glucose-0.017-0.0560.3850.2670.172-0.2200.0850.1591.000-0.1160.078-0.0190.1710.1010.0760.096-0.1820.091-0.0670.084-0.0090.002-0.1730.2290.044
HDL Cholesterol-0.038-0.157-0.201-0.2680.172-0.014-0.1030.013-0.1161.000-0.1690.0880.051-0.032-0.115-0.091-0.022-0.086-0.111-0.2010.243-0.1550.093-0.194-0.051
HbA1c0.0440.028-0.0220.2290.0290.223-0.0510.0730.078-0.1691.0000.105-0.0520.055-0.0310.058-0.1420.140-0.0830.1120.152-0.016-0.1520.2240.034
Heart Rate-0.060-0.0760.0030.152-0.1420.040-0.104-0.094-0.0190.0880.1051.000-0.1060.011-0.242-0.1080.066-0.085-0.176-0.0630.0310.0570.132-0.0800.174
Hematocrit-0.036-0.1510.194-0.0800.056-0.028-0.0890.2480.1710.051-0.052-0.1061.0000.011-0.075-0.018-0.1330.0010.030-0.202-0.0780.005-0.1260.1890.253
Hemoglobin0.029-0.099-0.013-0.0330.166-0.0750.1300.2130.101-0.0320.0550.0110.0111.000-0.2100.3130.2030.090-0.1040.1220.0330.2230.190-0.0830.028
Insulin0.2590.220-0.121-0.1260.1210.1260.214-0.0110.076-0.115-0.031-0.242-0.075-0.2101.0000.005-0.031-0.1020.199-0.046-0.2100.0020.0520.060-0.131
LDL Cholesterol0.125-0.1170.1650.0330.1000.0060.1400.0230.096-0.0910.058-0.108-0.0180.3130.0051.0000.1960.129-0.208-0.1750.1570.0750.251-0.218-0.019
Mean Corpuscular Hemoglobin-0.1130.0650.0050.061-0.291-0.1190.0760.131-0.182-0.022-0.1420.066-0.1330.203-0.0310.1961.000-0.0490.031-0.090-0.0370.0260.085-0.2330.015
Mean Corpuscular Hemoglobin Concentration-0.2520.050-0.1070.0450.1740.074-0.152-0.0070.091-0.0860.140-0.0850.0010.090-0.1020.129-0.0491.0000.147-0.004-0.138-0.0990.1260.143-0.040
Mean Corpuscular Volume0.0250.014-0.104-0.106-0.050-0.009-0.015-0.132-0.067-0.111-0.083-0.1760.030-0.1040.199-0.2080.0310.1471.0000.109-0.1520.032-0.1000.1200.010
Platelets-0.1120.0610.050-0.0260.0120.0110.091-0.1770.084-0.2010.112-0.063-0.2020.122-0.046-0.175-0.090-0.0040.1091.0000.0600.039-0.197-0.013-0.078
Red Blood Cells0.183-0.1990.034-0.1830.152-0.105-0.1430.338-0.0090.2430.1520.031-0.0780.033-0.2100.157-0.037-0.138-0.1520.0601.000-0.0250.089-0.0780.089
Systolic Blood Pressure0.013-0.1610.0330.063-0.163-0.0610.201-0.1420.002-0.155-0.0160.0570.0050.2230.0020.0750.026-0.0990.0320.039-0.0251.000-0.102-0.090-0.009
Triglycerides-0.039-0.019-0.1360.0110.174-0.0190.0540.004-0.1730.093-0.1520.132-0.1260.1900.0520.2510.0850.126-0.100-0.1970.089-0.1021.000-0.0130.093
Troponin-0.150-0.0690.0970.083-0.057-0.020-0.175-0.0110.229-0.1940.224-0.0800.189-0.0830.060-0.218-0.2330.1430.120-0.013-0.078-0.090-0.0131.000-0.110
White Blood Cells0.0190.1480.0500.0080.0260.083-0.0670.3900.044-0.0510.0340.1740.2530.028-0.131-0.0190.015-0.0400.010-0.0780.089-0.0090.093-0.1101.000

Missing values

2024-04-23T19:22:41.546493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-23T19:22:42.141216image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDisease
00.7395970.6501980.7136310.8684910.6874330.5298950.2900060.6310450.0013280.7958290.0341290.0717740.1855960.0714550.6534720.5026650.2155600.5129410.0641870.6108270.9394850.0955120.4659570.7692302
10.1217860.0230580.9448930.9053720.5077110.4030330.1642160.3075530.2079380.5055620.5711620.8392710.5809030.5560370.4777420.8568100.6524650.1069610.9425490.3442610.6663680.6590600.8169820.4011661
20.4525390.1161350.5445600.4006400.2945380.3820210.6252670.2951220.8683690.0268080.5821700.5774230.0457820.6636420.0889400.4667950.3873320.4217630.0071860.5069180.4317040.4172950.7990740.7792083
30.1366090.0156050.4199570.1914870.0811680.1662140.0732930.6687190.1254470.5010510.6202580.1690590.1392890.1604960.4065280.0162560.0401370.8267210.2654150.5941480.2257560.4903490.6370610.3540940
40.1767370.7522200.9717790.7852860.4438800.4398510.8949910.4421590.2572880.8059870.1843710.5801750.1184610.0055790.4144070.4294310.1462940.2215740.0152800.5671150.8414120.1533500.7940080.0949703
50.8982220.2587060.9333070.3530820.3739520.2971380.9000100.9854880.6790070.3557740.4602920.6243740.6648350.5375590.7664840.3894610.5299140.2226870.7724610.1199940.8942730.1281240.3790160.7514381
60.3537340.7577570.7550070.0125940.2276840.4251170.3874610.4614180.3055880.7411200.6544410.4039200.1437130.2128590.3932630.4468540.7293760.6155430.7947350.2338900.6121880.4078910.4268630.5321004
70.3990170.5082540.7773940.0963100.9255200.6525050.6848960.3806560.2481890.4902450.1510130.3060560.7223500.5359400.3914810.6731880.0330370.7720450.2538920.3224860.6590690.7742190.7141770.6091774
80.7224280.3002820.4879070.2008650.4020350.7292850.8513380.8205460.1066370.0069470.7973310.5241590.7475930.1415010.1287650.0226210.0613170.6441910.7158230.4171700.6391480.2130260.5499200.0368003
90.3990170.5082540.7773940.0963100.9255200.6525050.6848960.3806560.2481890.4902450.1510130.3060560.7223500.5359400.3914810.6731880.0330370.7720450.2538920.3224860.6590690.7742190.7141770.6091774
GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDisease
23410.7298680.9050260.5204730.3069550.7431640.6671500.7695730.1837710.2465420.1619200.3736640.8778760.0738970.7005500.1846040.1887920.9776560.3410070.7971580.9944600.5913030.4252960.0074900.1961921
23420.2989530.8092150.7811050.6207570.9104930.6199040.9537900.7788760.2673500.9646060.2244640.2335810.6448270.2091460.1954980.5543840.7476320.9772270.1693250.4030870.6933130.7552050.4894310.0939511
23430.1437720.0896000.0272590.1711210.7449500.4527870.8717780.9952630.8720380.3111750.6555450.3582250.3922880.1115890.0126930.1330010.2610720.2003230.3630500.5581910.3042370.3065390.5662890.7541893
23440.3578170.2500560.4668700.6242060.6186840.5457520.2452360.4530520.1629340.6703610.2776440.6016620.1799510.5906930.0643910.5377990.4114530.4849990.2351620.5662150.4037850.7372410.3881050.4061902
23450.6521220.4781950.5979160.4253600.9420471.0000000.4934280.3281700.1724500.6932440.4493990.4437250.5763970.4412870.4783130.7317750.6401330.3981990.2145810.6208680.3353460.4597220.7131620.3323352
23460.0129560.3369250.4512180.1750060.7346640.3827700.6564630.1775020.8081620.6844990.8839080.2571200.1020220.3560980.9283440.6706650.3115680.5950830.1558660.8858120.6361250.1322260.7165190.0061211
23470.4071010.1247380.9833060.6638670.3611130.6637160.2325160.3410560.8474410.3097660.5252300.5583620.7410090.6785000.2992130.4911850.7019140.2181040.7903410.5709020.3391250.3109640.3109000.6224033
23480.3443560.7839180.5821710.9968410.0653630.2428850.6588510.5430170.2901060.8387220.7889440.6606760.5972900.6633820.5723300.1417380.1558710.4736380.2505350.3871970.3447280.6067190.3951450.1340210
23490.3517220.0142780.8986150.1675500.7271480.0460910.9004340.1362270.1343610.2792190.0781630.4111670.3555450.1143800.1916260.5705530.1712450.8583520.3620120.2909840.9968730.8821640.4111580.1462551
23500.0327260.0535960.1026330.2213560.1539560.2165730.3125770.6089400.4861740.4507000.2884850.5814660.7107440.4073230.0602300.1887500.3318870.5626220.6804620.0995380.9828930.4372850.2889610.7092620

Duplicate rows

Most frequently occurring

GlucoseCholesterolHemoglobinPlateletsWhite Blood CellsRed Blood CellsHematocritMean Corpuscular VolumeMean Corpuscular HemoglobinMean Corpuscular Hemoglobin ConcentrationInsulinBMISystolic Blood PressureDiastolic Blood PressureTriglyceridesHbA1cLDL CholesterolHDL CholesterolALTASTHeart RateCreatinineTroponinC-reactive ProteinDisease# duplicates
90.0997020.4994430.2420450.5994390.6193310.1103680.2342040.6582990.5717000.3643120.7531780.2335370.3772380.5815870.2310940.1202510.0423180.7380310.5380570.6349470.9184680.5100680.1030660.417032051
500.5961500.2948390.2610100.6176520.1295690.2453580.0354370.2875320.0564660.8004970.5839760.0326170.5551900.6782000.0052170.7385420.0752630.2509680.0662920.7104270.8933970.7044370.5905170.728163049
380.4003260.1958180.7435290.1337450.7210640.1975520.6885920.8211860.9319510.4286040.3738870.5595710.7633880.7554900.3178570.0267470.5875790.6881910.1277800.6161810.6366290.3080700.2927870.521284047
490.5905480.8383050.9822310.3122860.2318270.2320050.0889970.5640430.7321860.9719420.8877810.0211320.2945520.2263900.9736790.0290150.9443030.8520070.3630010.8057460.1539400.1790710.4111240.477137147
420.4525390.1161350.5445600.4006400.2945380.3820210.6252670.2951220.8683690.0268080.5821700.5774230.0457820.6636420.0889400.4667950.3873320.4217630.0071860.5069180.4317040.4172950.7990740.779208346
600.7891110.6074000.8808380.9450340.5273810.2984470.1072570.5083350.3626200.7375770.2191110.5954500.4480490.6833490.3240010.1488450.4873470.3291980.1552820.2396590.4038900.2241420.5382970.642117046
110.1020060.0611320.8883120.9948200.0784910.9811930.0352970.8490530.9632350.9388950.1614850.0190050.7134540.0276610.3464660.6420120.5642770.2932840.1012450.4095810.6450130.3447960.2946710.587726045
140.1071650.6033410.7912150.1788400.7186740.8257690.7536570.3966690.7626670.7326710.2328770.1193380.1425910.4743780.7313690.4895140.1026790.8610350.6090680.6774150.9791920.5549600.4724280.621687445
330.3537340.7577570.7550070.0125940.2276840.4251170.3874610.4614180.3055880.7411200.6544410.4039200.1437130.2128590.3932630.4468540.7293760.6155430.7947350.2338900.6121880.4078910.4268630.532100445
400.4071010.1247380.9833060.6638670.3611130.6637160.2325160.3410560.8474410.3097660.5252300.5583620.7410090.6785000.2992130.4911850.7019140.2181040.7903410.5709020.3391250.3109640.3109000.622403345